Senior Data Engineer – Real-Time MedTech on Azure/Databricks

ERNI; Barcelona; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Certifications reimbursement up to €1,

Private health insurance

Full sick leave coverage

Emotional, legal and family support

Gym discounts

Flexible remuneration: meals, transit,

Referral bonuses up to €6,000 per cand

Referral bonuses up to €5,000 per clie

23 working days of vacation

Free language courses: English,Spanish

Descripción de la vacante

ERNI is building a data platform from scratch to enable near real-time healthcare analytics. You will design scalable solutions using Databricks, Azure Data Factory and PySpark, shaping architecture for a greenfield cloud platform on Azure.

The role emphasizes hands-on delivery, mentoring, and engineering excellence within a hybrid working model. You will work with APIs, streaming data, and event-driven patterns, collaborating across teams to ensure scalable, secure data solutions and robust

Formación

• Strong experience building cloud data platforms on Microsoft Azure.
• Hands-on experience with Databricks, Spark/PySpark and SQL.
• Experience designing event-driven and near real-time data solutions.
• Experience integrating APIs, streaming sources or messaging platforms such as Solace.
• Strong engineering mindset with CI/CD, testing, monitoring, governance and documentation.

Responsabilidades

• Design and implement scalable cloud data pipelines using Databricks, Azure Data Factory and PySpark.
• Participate in architecture definition of a greenfield platform.
• Integrate data from APIs and connected devices, develop near real-time analytics solutions.
• Collaborate with multidisciplinary teams and promote engineering best practices focused on scalability, governance and security.

Conocimientos

Databricks

PySpark

SQL

Event-driven design

CI/CD

Documentation

Governance

Monitoring

Herramientas

Azure Data Factory

Spark

Solace

Descripción del empleo

ERNI is building a data platform from scratch to enable near real-time healthcare analytics. You will design scalable solutions using Databricks, Azure Data Factory and PySpark, shaping architecture for a greenfield cloud platform on Azure.

The role emphasizes hands-on delivery, mentoring, and engineering excellence within a hybrid working model. You will work with APIs, streaming data, and event-driven patterns, collaborating across teams to ensure scalable, secure data solutions and robust